| dc.contributor.advisor | Ariyanto, Dodik | |
| dc.contributor.author | RUSWANDI, KEINANJUNG | |
| dc.date.accessioned | 2025-06-30T08:46:57Z | |
| dc.date.available | 2025-06-30T08:46:57Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/163318 | |
| dc.description.abstract | Air baku untuk keperluan rumah tangga perlu diolah agar memenuhi standar kualitas yang aman digunakan. Penelitian ini bertujuan untuk mengembangkan sistem pengolahan air dengan memanfaatkan teknologi Internet of Things (IoT) dan analisis logika fuzzy. Sistem ini menggunakan sensor untuk mengukur kekeruhan dan total zat terlarut dengan mengontrol pompa otomatis berdasarkan nilai sensor. Metode yang digunakan mencakup pengujian sensor untuk validasi akurasi pembacaan, implementasi logika fuzzy dalam pengambilan keputusan dan pengujian bot Telegram untuk pemantauan. Hasil penelitian menunjukkan bahwa akurasi sensor turbidity mencapai 95,70% dan sensor TDS mencapai 96,13%. Implementasi logika fuzzy menghasilkan akurasi 94,34%. Pengujian bot Telegram menunjukkan bahwa setiap perintah dapat dijalankan dengan konsisten sesuai harapan. Dampak penelitian ini menunjukkan bahwa sistem pengolahan air berbasis IoT dapat diterapkan untuk meningkatkan kualitas air dengan pemantauan secara real-time dan kontrol otomatis. | |
| dc.description.abstract | Raw water for domestic use needs to be treated to meet quality standards that are safe to use. This research aims to develop a water treatment system by utilizing Internet of Things (IoT) technology and fuzzy logic analysis. The system uses sensors to measure turbidity and total solute by controlling an automatic pump based on sensor values. The methods used include sensor testing for validation of reading accuracy, implementation of fuzzy logic in decision making and Telegram bot testing for monitoring. The results showed that the accuracy of the turbidity sensor reached 95,70% and the TDS sensor reached 96,13%. The implementation of fuzzy logic resulted in an accuracy of 94,34%. Telegram bot testing shows that each command can be executed consistently as expected. The impact of this research shows that IoT-based water treatment systems can be applied to improve water quality with real-time monitoring and automatic control. | |
| dc.description.sponsorship | | |
| dc.language.iso | id | |
| dc.publisher | IPB University | id |
| dc.title | Sistem Controlling dan Monitoring Kualitas Air Baku Berbasis Internet of Things (IoT) | id |
| dc.title.alternative | Controlling and Monitoring System of Raw Water Quality Based on Internet of Things (IoT) | |
| dc.type | Tugas Akhir | |
| dc.subject.keyword | fuzzy logic | id |
| dc.subject.keyword | TDS Sensor | id |
| dc.subject.keyword | Telegram bot | id |
| dc.subject.keyword | turbidity sensor | id |
| dc.subject.keyword | water treatment | id |
